Multibiometric Template Security Based on Fuzzy Behavior

Biometric authentication has evolved from the disadvantages of ancient means that of authentication. The templates have the danger of outflow of user privacy and system security. Multibiometric templates can jointly has to be protected because it contains info of multiple traits of one person so the danger of outflow of knowledge and intrusion attack will increase, therefore it becomes necessary to guard multiple templates. The objective of this work is to secure the templates before storing it to the information so as to beat the intrusion attack and guarantee users privacy. In this work basically two biometric template were used for the cryptosystem. The functionality of the system comprises of feature extraction where features of individual template extracted after that embedding is done on the various features, codeword generation generates the code for each feature of the template this codeword along with predefined keys and with hashing completes the architecture of the system. Lastly, on analysis with various experiments it is found that our implementation, the genuine accept rate is 99 % with lesser security bits.